Remote Software engineering Jobs • TensorFlow

Elevate Launch Potato’s advertising performance by building scalable, production-ready ML systems that optimize revenue while enhancing user experience. You’ll collaborate across teams to design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency at global scale. The role requires a blend of technical expertise and business intuition to build scalable and reliable systems that drive revenue.

Drive business growth by building and optimizing the recommendation systems that personalize experience for millions of users daily. You’ll own the modeling, feature engineering, data pipelines, and experimentation that make personalization smarter, faster, and more impactful. Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale.

Elevate Launch Potato’s advertising performance by building scalable, production-ready ML systems that optimize revenue while enhancing user experience. You’ll collaborate across teams to design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency at global scale. The ideal candidate will develop and scale advertising algorithms that optimize engagement and revenue simultaneously.

We are seeking a Senior Architect, AI Engineering that would report into our Senior Director, Engineering (Emerging Tech). You will play a pivotal role in shaping how we leverage cutting-edge deep learning and multimodal AI to secure large-scale distributed systems. As a recognized technical leader, you will influence product strategy, mentor teams globally, and deliver innovations that safeguard enterprises in dynamic cloud environments.

We're looking for a Machine Learning Engineer to be the bridge between our AI research and production systems, building and maintaining the infrastructure that powers our video-first AI products. This is a generalist role where you'll split your time between deploying state-of-the-art models to production and engineering the data pipelines that feed them.

You will build systems that drive millions in revenue through intelligent personalization and optimization. You'll develop and deploy models that understand user preferences, optimize content discovery, and personalize experiences at scale. This is a hands-on role where you'll see direct impact on business metrics daily.

As a Software Engineer on the AI Tools team at Tenstorrent, you’ll build intelligent systems that help developers create faster, more efficient compute kernels for our AI hardware. You’ll combine low-level performance know-how with AI techniques to automate optimization, debugging, and kernel generation. If you like blending systems programming with machine learning to solve real performance problems, you’ll feel right at home.

Fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. You will fine-tune and adapt open-source models, engineer prompts and curate data, evaluate models, deploy and monitor models, and collaborate with product, engineering, and design teams to launch user-facing AI features.

Drive applied research into LLMs and agentic systems, rapidly prototyping, validating, and shipping production-ready capabilities. Stay hands-on with the latest advances in foundation models, LLM-as-a-judge, agentic frameworks & tools, and move fast to bring them into the product. Leverage emerging technologies and a team of legal experts to improve the intelligence and autonomy of our agents.

The Staff Machine Learning Engineer will own the design, development, and scaling of ML systems powering next-generation payment flows, recommendation engines, and agentic commerce features; architect and scale ML systems powering agentic commerce workflows, including autonomous decision-making and checkout automation.